影響農地價格之因素，隨著市場條件之差異，如土地使用管制或農地政策而有所不同。歸納我國過去有關農地價格研究之文獻，對於東部農地市場之研究較少，且鮮少探討自然景觀因素對於農地價格之影響。對於東部農地價格之研究，可能遺漏重要的影響因素。因此本研究探討影響花蓮縣農地價格之因素，且加入自然景觀作為研究變數，以觀察自然景觀對於花蓮縣農地價格之影響。又農業發展條例於民國89年修正後，准許農民在其自有農地興建農舍。故本研究將農地樣本分為得興建農舍及不得興建農舍之農地，進一步比較自然景觀對農地價格之影響於兩者之間有無差異。由於本研究選取之農地，為其興建之農舍皆得作為民宿使用之樣本，因此，本研究加入衡量市場對於民宿需求之變數，探討市場對於民宿之需求，是否加深自然景觀對於農地價格之影響。 　　本研究以民國101年8月至103年12月花蓮縣非都市農地實價登錄資料作為研究樣本，透過線性迴歸模型，探討包括自然景觀因素在內之各項因素對於花蓮縣農地價格之影響。實證結果觀察到：對於花蓮縣農地市場，農地是否得興建農舍為自然景觀是否會影響農地價格之主因，且自然景觀對於農地價格之影響，受到市場對於民宿之需求而有所差異。基於上述，本研究研究結論如下：一、自然景觀因素影響花蓮「得興建農舍」之農地價格，但不影響「不得興建農舍」之農地價格。二、農舍作為民宿使用機率變高時，將加深自然景觀之價格效果。 / Factors that affect the price of the farmland vary in different market conditions, such as land use regulation or farmland policy. Previous studies on farmland prices is found to have paid little attention to farmland market in eastern Taiwan, and rarely discuss the amenity of natural landscape that might also affect the price of farmland. Lack of studies may lead to ignore the important factors of farmland price in eastern Taiwan. This study discusses the factors that affect the price of farmland in Hualien County, and adds the natural landscape as the independent variables so as to observe how natural landscape affect the farmland price in Hualien County. After Agricultural Development Act amended in 2000, farmers are allowed to construct individual farmhouses on their own farmland. Therefore, we split the data into farmland in which construction of farmhouse is allowed and farmland otherwise. Furthermore, we compare the difference between two types of farmland. Because the farmland where the farmhouses are allowed to construct are also permitted to operate the Bed and Breakfast, we also add the independent variables of the market demand for the Bed and Breakfast. In so doing, we are able to investigate whether the market demand for the Bed and Breakfast increases the natural landscape that affect the price of farmland. We choose the non-urban farmland price registration data from August 2012 to December 2014 in Hualien County. The linear regression model is used to analyze how various factors including natural landscape affect the farmland price in Hualien County. Based on the empirical results, three conclusions are arrived at below: First, factors of natural landscape only affect the price of farmland which allow for construction of farmhouses, but not affect the price of farmland where construction of farmhouses are forbidden. Second, farmhouses that are permitted to operate the Bed and Breakfast will increase the price effect of natural landscape.